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DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
This is the code repo of our NeurIPS2019 work that proposes novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
A PyTorch Geometric implementation of an extended SimGNN version, coupled with a Locality Sensitive Hashing module.
This is the repo for our paper "Fake Gradient: A Security and Privacy Protection Framework for DNN-based Image Classification"
Functional clone detection(currently maintained version)
FUNDED is a novel learning framework for building vulnerability detection models.
A Simple pytorch implementation of GradCAM and GradCAM++
Code for "Generative Code Modeling with Graphs" (ICLR'19)
PyTorch implementation of Graph Matching Networks for Learning the Similarity of Graph Structured Objects.
Implementation and experiments of graph embedding algorithms.
Code and data for paper "Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree".
《深入浅出图神经网络:GNN原理解析》配套代码
Few Shot Learning on Graphs
A small course on exploiting and defending neural networks
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板
hithesis-alpha是在hithesis的基础上进行的改编尝试,尝试添加开题/中期报告样式。
Investigating the relationship between mean arterial pressure and acute kidney injury in septic patients using the MIMIC-III Database. MIT HST.953 Fall 2016 Final Project.
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.